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Improving estimates and forecasts of lake carbon dynamics using data assimilation

Overview of attention for article published in Limnology and Oceanography: Methods, January 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#18 of 497)
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

twitter
48 X users

Citations

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3 Dimensions

Readers on

mendeley
30 Mendeley
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Title
Improving estimates and forecasts of lake carbon dynamics using data assimilation
Published in
Limnology and Oceanography: Methods, January 2019
DOI 10.1002/lom3.10302
Authors

Jacob A. Zwart, Oleksandra Hararuk, Yves T. Prairie, Stuart E. Jones, Christopher T. Solomon

X Demographics

X Demographics

The data shown below were collected from the profiles of 48 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 23%
Researcher 4 13%
Student > Bachelor 3 10%
Student > Ph. D. Student 3 10%
Student > Doctoral Student 2 7%
Other 4 13%
Unknown 7 23%
Readers by discipline Count As %
Environmental Science 7 23%
Agricultural and Biological Sciences 6 20%
Earth and Planetary Sciences 5 17%
Business, Management and Accounting 1 3%
Arts and Humanities 1 3%
Other 2 7%
Unknown 8 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 27. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 May 2020.
All research outputs
#1,506,391
of 26,496,895 outputs
Outputs from Limnology and Oceanography: Methods
#18
of 497 outputs
Outputs of similar age
#33,607
of 452,344 outputs
Outputs of similar age from Limnology and Oceanography: Methods
#2
of 13 outputs
Altmetric has tracked 26,496,895 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 497 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has done particularly well, scoring higher than 96% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 452,344 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.